Breaking Down the Real Meaning of an XDR Solution
Read MoreThere was an average major security breach in 95% of organizations in 2023, at an average price of $4.45 million. In today’s rapidly evolving threat landscape, complete visibility of the network is required for businesses. As enterprises increase their digital footprints, monitoring and securing complex network infrastructures become more and more important. With the emergence of sophisticated hackers and regular ransom attacks, organizations must implement the strongest network security solutions.
The modern network monitoring tools are not enough to counter sophisticated cyber-attacks. They often rely on simple metrics and lack the capability to detect subtle yet dangerous anomalies. Deep visibility in modern enterprises is powered by advanced network traffic analysis and real-time network insights.
This is where NDR solutions really shine, offering unprecedented visibility in network security. NDR leverages advanced technologies, such as machine learning enabling organizations to detect, respond to, and prevent threats with precision.
Enterprise-level network visibility covers all aspects of network activity, including east-west traffic, which happens between devices or between data centers and can include encrypted traffic where malicious activity is hidden, and cloud interactions. Organizations must look for abnormal access patterns, such as sudden spikes in data transfer between servers or erratic behavior at one endpoint, encrypted or in hybrid environments. Without this visibility, critical threats go undetected, and enterprises are left vulnerable to attacks.
Network security visibility has become the cornerstone of modern cybersecurity strategies. Here’s why:
NDR solutions allow for the detection of threats much faster than traditional security measures. This is because it minimizes the amount of time a threat can exist without being detected, thereby minimizing the damage caused.
Proactive threat hunting capabilities can help enterprises detect potential threats earlier, which will keep them ahead of the curve when it comes to evolving security risks and minimize exposure.
Through machine learning-based anomaly detection, suspicious activity is identified in a timely manner to prevent it from becoming a significant security incident.
An all-inclusive view of network activity enhances the detection of threats so that organizations can respond quickly to breaches and limit financial and reputational damage.
The threats that modern enterprises face include:
Advanced Persistent Threats, also known as APTs, are sophisticated threat actors who maintain long-term access to networks with the intent to steal sensitive data or disrupt operations. Detection and mitigation require a high level of visibility and continuous network monitoring. Studies have shown that APTs were responsible for 23% of major data breaches in 2023.
Ransomware attacks have increased in complexity from simple encryption schemes to data theft and extortion. Over the past year, there was a reported 300% surge in the kinds of ransomware network infrastructures reported by organizations. This requires organizations to build strong network monitoring capabilities and response.
With the new trend of remote work comes the increasing need for securing mobile devices. Studies show that 60% of breaches today originate from mobile devices, meaning that mobile security must be part of network visibility plans. Solutions that ensure usability must be embraced by enterprises in order to have these mobile devices provide visibility without compromising usability.
Modern NDR-based solutions rely on DPI as a method to inspect data packets at a granular level. This allows teams to:
With 94% of enterprises using cloud services, a recent report claims that cloud network monitoring has become essential. NDR solutions provide:
Automation is revolutionizing incident response in enterprise security. Key benefits include:
Data Loss Prevention (DLP) has become a cornerstone of network data security. Modern DLP solutions integrated with NDR platforms help organizations:
If you want to know about the best practices to p:revent data breaches, then read our blog
Improving enterprise-level visibility is a necessity in today’s threat landscape. Network Detection and Response offers:
Comprehensive tools to defend against advanced threats.
The ability to address risks before they escalate.
Safeguarding sensitive information and critical assets.
Machine learning is revolutionizing enterprise network visibility by providing powerful tools for predictive and proactive security measures. Here’s an expanded look at its role:
| Capabilities | Description |
|---|---|
| 1. Predictive Threat Detection | Machine learning algorithms analyze historical data and recognize patterns that indicate potential threats, allowing organizations to act before issues escalate. |
| 2. Behavioral Analysis | ML models create baselines for normal network behavior, enabling real-time detection of deviations that might signal malicious activity. |
| 3. Automated Anomaly Detection | Machine learning simplifies anomaly detection, flagging issues that might be missed by manual monitoring and reducing false positives significantly. |
| 4. Pattern Recognition | ML tools excel at identifying complex patterns across massive datasets, helping detect even the most sophisticated threats. |
| 5. Integration with Incident Response | Machine learning aids in automating incident response processes, reducing response times and freeing security teams to focus on higher-priority tasks. |
Adopt unified NDR platforms that integrate seamlessly with existing tools, offering comprehensive visibility and streamlined workflows.
As technology evolves, network visibility strategies must also transform. Here are the trends shaping its future:
NDR incorporates advanced features like machine learning, deep packet inspection, and automated threat responses, making it significantly more effective at detecting and mitigating sophisticated attacks.
Machine learning enhances anomaly detection, predicts potential risks, and automates responses, ensuring comprehensive and proactive security.
ROI can be measured by reduced response times, fewer successful breaches, improved detection accuracy, and decreased manual security workload.
See Fidelis in action. Learn how our fast and scalable platforms provide full visibility, deep insights, and rapid response to help security teams across the World protect, detect, respond, and neutralize advanced cyber adversaries.
